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Abstract

An algorithm is developed for underwater acoustic signal processing with an array of
hydrophones. With various acoustic signals coming from different directions, the maximum likelihood approach is used to estimate the source bearings and time series. Simulated annealing is used to implement the resulting time-domain beamformer. Broadband
signals in spatially correlated noise are treated. Previous time-domain beamformers did
not consider the correlation between random noise, and they did not use the concept of
maximum likelihood, which is asymptotically optimal. We show that improved resolution
can be achieved using this new method.

Description

Submitted in partial fulfillment of the requirements for the degree of Master of Science at the Massachusetts Institute of Technology and the Woods Hole Oceanographic Institution September 1999

This report presents a numerical framework for analyzing the statics and dynamics of cable strctures commonly
encountered in oceanographic engineering practice. The numerical program, WHOI Cable, features a nonlinear ...

This report describes version 2.0 of a numerical program for analyzing the statics and dynamics of cable structures commonly encountered in oceanographic engineering practice. The numerical program, WHOI Cable, features a ...

Wind waves in the ocean are a product of complex interaction of turbulent air flow with
gravity driven water surface. The coupling is strong and the waves are non-stationary,
irregular and highly nonlinear, which restricts ...

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